If you just use plain python, there is no array. Both the visual module and the pylab module load numpy. And you can still index the array as you would a list. Here is an example.

Let's imagine I have an array called thing. Before I start writing the code that will work on the array, I probably want to do the following: The good news is that python and numpy give you powerful ...

Arrays in Python give you a huge amount of flexibility for storing, organizing, and accessing data. This is crucial, not least because of Python’s popularity for use in data science.

The output of the simulation is a numpy array, which can be further processed and visualized with the mathplotlib library. All pretty standard stuff in python circles.

As an FYI, nosferatu-man's and my solutions are better than S. Carton's, but require Python 2.4. The "key" parameter to sort/sorted does a "Decorate-Sort-Undecorate"[1] automatically, whereas the ...